About this organization

Organization Information : Founded in 2020 , Treeswift empowers utilities with AI-augmented vegetation management that reduces risk and improves reliability across transmission and distribution systems. Treeswift's backpack and vehicle-mounted sensors seamlessly integrate into existing patrols to gather imagery and LiDAR data. Treeswift's AI translates this data into actionable analytics and 360° field context for encroachment, strike potential, and failure risk via its software platform for vegetation management experts, arborists, and tree crews. Treeswift was founded in 2020 by a team of AI and robotics PhDs at the University of Pennsylvania.We combine high resolution ground measurements with cutting-edge computer vision and software to deliver a digital twin of field conditions. Our data enables you to optimize your vegetation and asset management spending to get the most reliability out of your budget.The transition to renewable energy is underway with large investments in new power generation and transmission. At the same time increasing wildfires and storms threaten reliability leading to disruptions that impact the broader environment and economy. Treeswift's platform optimizes vegetation management and asset maintenance along transmission and distribution corridors to cost effectively prevent outages.

Other Information: Founded in 2020 , Treeswift is a technology company specializing in developing high-performance, distributed machine learning systems. Their flagship product, Swift ML, is designed to accelerate machine learning workflows by enabling efficient scaling across multiple computing resources. SwiftML integrates seamlessly with existing machine learning frameworks, providing users with enhanced speed and scalability for complex data processing tasks. The company's mission is to empower data scientists and engineers to build and deploy machine learning models more effectively, addressing the growing demands of big data analytics. Treeswift's innovative solutions aim to streamline machine learning operations, reduce computational overhead, and facilitate the development of advanced AI applications across various industries.